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MCMC from Scratch: A Practical Introduction to Markov Chain Monte Carlo, Hanada,
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Artikelmerkmale
- Artikelzustand
- ISBN
- 9789811927140
Über dieses Produkt
Product Identifiers
Publisher
Springer
ISBN-10
9811927146
ISBN-13
9789811927140
eBay Product ID (ePID)
23057270988
Product Key Features
Number of Pages
IX, 194 Pages
Language
English
Publication Name
Mcmc from Scratch : a Practical Introduction to Markov Chain Monte Carlo
Subject
Programming / Algorithms, Intelligence (Ai) & Semantics, Life Sciences / Biophysics, Probability & Statistics / General, Physics / Nuclear
Publication Year
2022
Type
Textbook
Subject Area
Mathematics, Computers, Science
Format
Hardcover
Dimensions
Item Weight
18.1 Oz
Item Length
9.3 in
Item Width
6.1 in
Additional Product Features
Dewey Edition
23
Number of Volumes
1 vol.
Illustrated
Yes
Dewey Decimal
519.233
Table Of Content
Chapter 1: Introduction.- Chapter 2: What is the Monte Carlo method?.- Chapter 3: General Aspects of Markov Chain Monte Carlo.- Chapter 4: Metropolis Algorithm.- Chapter 5: Other Useful Algorithms.- Chapter 6: Applications of Markov Chain Monte Carlo.
Synopsis
This textbook explains the fundamentals of Markov Chain Monte Carlo (MCMC) without assuming advanced knowledge of mathematics and programming. MCMC is a powerful technique that can be used to integrate complicated functions or to handle complicated probability distributions. MCMC is frequently used in diverse fields where statistical methods are important - e.g. Bayesian statistics, quantum physics, machine learning, computer science, computational biology, and mathematical economics. This book aims to equip readers with a sound understanding of MCMC and enable them to write simulation codes by themselves. The content consists of six chapters. Following Chap. 2, which introduces readers to the Monte Carlo algorithm and highlights the advantages of MCMC, Chap. 3 presents the general aspects of MCMC. Chap. 4 illustrates the essence of MCMC through the simple example of the Metropolis algorithm. In turn, Chap. 5explains the HMC algorithm, Gibbs sampling algorithm and Metropolis-Hastings algorithm, discussing their pros, cons and pitfalls. Lastly, Chap. 6 presents several applications of MCMC. Including a wealth of examples and exercises with solutions, as well as sample codes and further math topics in the Appendix, this book offers a valuable asset for students and beginners in various fields.
LC Classification Number
QA76.9.A43
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- t***t (305)- Bewertung vom Käufer.Letzter MonatBestätigter KaufAAAA++++ SELLER!!!! Book looks new. I've purchased from this seller before and they are awesome. Book was in better than described condition and the price was the best I could find anywhere. Shipping was very fast and book was nicely wrapped in a mylar envelope. My very highest recommendation for Half-Price-Books-Inc! I'll absolutely be buying from them again soon. Thank you-
- 1***j (104)- Bewertung vom Käufer.Letzte 6 MonateBestätigter KaufGreat experience. Seller responded promptly with quick shipping. The item was well packaged. The seller was great. Prices and descriptions of the merchandise were accurate.
- a***i (324)- Bewertung vom Käufer.Letzter MonatBestätigter KaufItem as described in post. Price of item was a great value. Packaging of item was well done. Postage was accurate to distance. Seller had great communication skills. Would shop here again!